How FAIRsharing can help FAIRify your standards, databases and data policies FAIRsharing

This catalogue respects all FAIR guidelines and best practices. It is based on the IEEE Standard for Learning Object Metadata (IEEE 2002) that has been customised in order to be compliant with the EOSC Training Resource Profile - Data Model.

Description

A workshop on how to make research data compliant with the FAIR principles organized by the ENVRI-FAIR project’s work package on training & skills building delivered by Peter McQuilton from FAIRsharing.org. FAIRsharing is a manually curated online registry of repositories and knowledgebases, linked to the models, formats, reporting guidelines, identifier schemata, and terminologies that they use, and the data policies from funders and journal publishers that endorse or recommend their use. This webinar discusses how you can use FAIRsharing to make your resource more Findable, Accessible, Interoperable and Re-usable.

1 - General

1.1 - Identifier

1.2 - URL type

URL

1.3 - URL

https://training.envri.eu/course/view.php?id=64

1.4 - Title

How FAIRsharing can help FAIRify your standards, databases and data policies

1.5 - Language

1.6 - Description

("en_US","A webinar on how to make research data compliant with the FAIR principles organized by the ENVRI-FAIR project’s work package on training & skills building delivered by Peter McQuilton from FAIRsharing.org. FAIRsharing is a manually curated online registry of repositories and knowledgebases, linked to the models, formats, reporting guidelines, identifier schemata, and terminologies that they use, and the data policies from funders and journal publishers that endorse or recommend their use. This webinar discusses how you can use FAIRsharing to make your resource more Findable, Accessible, Interoperable and Re-usable.")

1.7 - Keywords

ENVRI FAIR
FAIR principles
FAIR standards

1.8 - Geographical availability

2 - Life Cycle

2.1 - Version

Not Available

2.2 - Status

Final

2.3 - Contribute

2.3.1 - Role

Author

2.3.2 - Entity

ENVRI FAIR

2.4 - Date

2019

3 - Educational

3.1 - Interactivity type

Mixed

3.2 - Learning resource type

Webinar

3.3 - Interactivity level

Medium

3.4 - Semantic density

Medium

3.5 - Target group

Researchers
Research projects
Research organisations
Research Infrastructure
Publishers
Other

3.6 - Context

Training

3.7 - Expertise level

Intermediate

3.8 - Typical learning time

Knowledge-dependent

3.9 - Learning outcome(s)

3.10 - Access rights

Open access

3.11 - Cost

3.12 - Copyright and other restrictions

Yes

3.13 - Conditions of use

ENVRI-FAIR

4 - Technical

4.1 - Size

Not Available

4.2 - Scientific domain and subdomain

4.3 - Topic codes

G1: Introduction to FAIR principles
G2: Metrics for FAIRness evaluation
G5: Basic Research Data Management (RDM)
G7: Other general FAIR-related topics

5 - Relation

5.1 - Kind

5.2 - Entry

Access the resource

Details

Code	65
Uploaded by	Cosimo Vallo
Available since	27/06/23 15:12